Inevitable-Metaverse: A Novel Twitter Dataset for Public Sentiments on Metaverse
Research Square (Research Square)(2024)
摘要
Metaverse has emerged as a novel technology with the objective to merge the
physical world into the virtual world. This technology has seen a lot of
interest and investment in recent times from prominent organizations including
Facebook which has changed its company name to Meta with the goal of being the
leader in developing this technology. Although people in general are excited
about the prospects of metaverse due to potential use cases such as virtual
meetings and virtual learning environments, there are also concerns due to
potential negative consequences. For instance, people are concerned about their
data privacy as well as spending a lot of their time on the metaverse leading
to negative impacts in real life. Therefore, this research aims to further
investigate the public sentiments regarding metaverse on social media. A total
of 86565 metaverse-related tweets were used to perform lexicon-based sentiment
analysis. Furthermore, various machine and deep learning models with various
text features were utilized to predict the sentiment class. The BERT
transformer model was demonstrated to be the best at predicting the sentiment
categories with 92.6
the implications and future research directions were also discussed.
更多查看译文
关键词
public sentiments,novel twitter dataset,inevitable-metaverse
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要